US Patent Issued to AT&T Intellectual Property I on May 13 for "Interpretation workflows for machine learning-enabled event tree-based diagnostic and customer problem resolution" (California, Georgia, New Jersey Inventors)

ALEXANDRIA, Va., June 12 -- United States Patent no. 12,299,695, issued on May 13, was assigned to AT&T Intellectual Property I LP (Atlanta).

"Interpretation workflows for machine learning-enabled event tree-based diagnostic and customer problem resolution" was invented by James Fan (San Ramon, Calif.), Al Hooshiari (Alpharetta, Ga.), Dan Celenti (Holmdel, N.J.) and Eric Forbes (Canton, Ga.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Concepts and technologies disclosed herein are directed to interpretation workflows for machine learning-enabled event tree-based diagnostic and customer problem resolution. According to one aspect, a system can receive a workflow construction specification derived from a mac...